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Found 2 papers, 1 papers with code
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization
For explicit consistency regularization, we minimize the difference between the prediction of the augmentation view and the prediction of the original view.
Self-Pro: Self-Prompt and Tuning Framework for Graph Neural Networks
We first introduce asymmetric graph contrastive learning as pretext to address heterophily and align the objectives of pretext and downstream tasks.
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